Android applications are develo** rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

Cyber attacks are currently blooming, as the attackers reap significant profits from them and
face a limited risk when compared to committing the “classical” crimes. One of the major …

Malware detection at scale in the Android realm is often carried out using machine learning
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …

Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …

Android and Windows are the predominant operating systems used in mobile environment
and personal computers and it is expected that their use will rise during the next decade …

Although various security mechanisms have been introduced in Android operating system in
order to enhance its robustness, sheer protection remains an open issue: malicious …

Malicious webshells currently present tremendous threats to cloud security. Most relevant
studies and open webshell datasets consider malicious webshell defense as a binary …

With the rapid growth of Android malware, many machine learning-based malware analysis
approaches are proposed to mitigate the severe phenomenon. However, such classifiers …

Predicting attacks in Android malware devices using machine learning for recommender
systems-based IoT can be a challenging task. However, it is possible to use various …

Smartphones are an essential part of all aspects of our lives. Socially, politically, and
commercially, there is almost complete reliance on smartphones as a communication tool, a …